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Determining the Minimum Embedding Dimensions of Input–Output Time Series Data

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Publication:4941321
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DOI10.1142/S0218127498001145zbMath0991.37054OpenAlexW2763675399WikidataQ59139603 ScholiaQ59139603MaRDI QIDQ4941321

Gary Froyland, Kevin Judd, Liangyue Cao, Alistair I. Mees

Publication date: 29 February 2000

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127498001145


zbMATH Keywords

embedding dimensionfalse nearest neighbors methodinput-output dynamical systemsmethod of averaged false nearest neighbors


Mathematics Subject Classification ID

Dynamical systems in control (37N35) Time series analysis of dynamical systems (37M10)


Related Items

Influence of noise on the averaged false neighbors method for analyzing time series ⋮ Applications of Methods and Algorithms of Nonlinear Dynamics in Economics and Finance



Cites Work

  • A two-dimensional mapping with a strange attractor
  • Embedology
  • Independent coordinates for strange attractors from mutual information
  • Deterministic Nonperiodic Flow
  • Oscillation and Chaos in Physiological Control Systems
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